ZipRecruiter

Log In

1

Artificial Intelligence Data Analyst Jobs in Nevada

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI ...

ENNOVARA

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... intelligence and data reports. Responsibilities: o Perform data processing tasks and prepare data analytics reports meeting defined specifications. o Present data in graphs and tables as well as ...

ENNOVARA

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

... intelligence and data reports. Responsibilities: o Perform data processing tasks and prepare data analytics reports meeting defined specifications. o Present data in graphs and tables as well as ...

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV

$99K - $232K/yr

... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Pinkerton

Intelligence Analyst

Las Vegas, NV

Intelligence Analyst Location US-NV-Las Vegas ID 2026-3098 Category Intelligence Services Position ... Ethical mindset and respect for data/user privacy and confidentiality. * Able to work ...

Pinkerton

Intelligence Analyst

Las Vegas, NV

The Intelligence Analyst, assigned to a specific client, will monitor open-source intelligence ... Ethical mindset and respect for data/user privacy and confidentiality. * Able to work ...

Pearson

Specialist, Data Scientist

Carson City, NV · On-site

$125 - $140/hr

You will analyze structured and unstructured data, develop statistical and machine learning ... Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), and ...

New

next page

Showing results 1-20

All JobsArtificial Intelligence Data Analyst JobsArtificial Intelligence Data Analyst Jobs in Nevada

Artificial Intelligence Data Analyst information

What is an artificial intelligence data analyst?

An Artificial Intelligence Data Analyst is a professional who collects, processes, and interprets large data sets to support the development and improvement of AI systems. They use statistical tools and machine learning techniques to analyze structured and unstructured data, identify trends, and generate insights that inform AI models. Their work often involves data cleaning, annotation, and validation to ensure data quality and accuracy. AI Data Analysts collaborate closely with data scientists, machine learning engineers, and other stakeholders to help organizations leverage data for smarter, automated decision-making.

What are the key skills and qualifications needed to thrive as an artificial intelligence data analyst?

To thrive as an Artificial Intelligence Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Standout candidates possess problem-solving abilities, attention to detail, and effective communication skills for sharing complex insights with stakeholders. These skills and qualities are crucial for extracting actionable insights from large datasets and enabling data-driven decision-making in AI projects.

How does an artificial intelligence data analyst typically collaborate with data scientists and engineers on AI projects?

Artificial Intelligence Data Analysts play a key role in AI projects by preparing, cleaning, and interpreting large datasets that are used to train models. They work closely with data scientists to understand data requirements and help define relevant features, and they partner with engineers to ensure data pipelines are robust and scalable. Regular collaboration involves sharing insights, troubleshooting data issues, and providing feedback to refine model performance. This teamwork ensures that the AI models are both accurate and reliable for the intended business applications.

What are popular job titles related to Artificial Intelligence Data Analyst jobs in Nevada?

For Artificial Intelligence Data Analyst jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Data Analyst jobs in Nevada look for?

The top searched job categories for Artificial Intelligence Data Analyst jobs in Nevada are:

What cities in Nevada are hiring for Artificial Intelligence Data Analyst jobs?

Cities in Nevada with the most Artificial Intelligence Data Analyst job openings:

Artificial Intelligence Data Analyst jobs near you

AVP, Artificial Intelligence

Las Vegas, NV • On-site

Credit One Bank
Finance and Insurance • 501 - 1,000 employees
Learn more about Credit One Bankexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. The Assistant Vice President of Artificial Intelligence is responsible for leading the delivery and execution of AI and machine learning capabilities within a regulated banking environment, focusing on fraud prevention, credit risk management, and customer experience personalization.
Responsibilities:
• Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
• Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
• Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
• Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
• Oversee model validation, explainability, bias testing, and audit readiness.
• Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
Qualifications:
Required:
• Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
• Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
• Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
• Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
• Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
• Oversee model validation, explainability, bias testing, and audit readiness.
• Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
• Machine Learning & Modeling: Supervised, unsupervised, reinforcement learning; Deep learning (CNNs, RNNs, Transformers); Natural Language Processing (NLP) & LLMs; Generative AI (diffusion models, fine-tuning, RAG); AI Engineering & MLOps.
• AI Engineering & MLOps: Model training, deployment, monitoring, and retraining; Feature stores, vector databases, and model registries; CI/CD pipelines for ML (MLOps); GPU/accelerator compute architectures.
• Cloud & Infrastructure: Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI; Kubernetes, containerization, microservices; Data platforms (Databricks, Snowflake, Synapse).
• Responsible AI & Governance: Model explainability (SHAP, LIME); Fairness, bias detection, model risk controls; Privacy-preserving ML techniques (differential privacy, federated learning).
• Programming & Tooling: Python, PyTorch, TensorFlow, JAX; LangChain, semantic search, vector embeddings; Prompt engineering & LLM orchestration frameworks.
• Excellent communication, problem-solving, and project management skills.
• Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
• Demonstrate company core values of excellence, ownership, collaboration, and integrity.
Preferred:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 5-8 + years of experience in AI/ML or data science.
• Experience working with large-scale financial or transactional data is preferred.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply